Category: commercial vehicle

Cutaway view of a Solid-State Battery module on black background. Next Generation Electric Vehicle Battery concept. Generic design. Isometric view. 3D rendering illustration.|fuel cell bus|IceFraction Animation|Schematic of water recirculation|Ice fraction near cathode catalyst layer|Comparison of steady and transient model response|2D flowfield in CAD

Solid-State Batteries: Why Virtual Modeling and Simulation are the Only Way Forward

Solid-State vs Lithium-Ion Batteries | What’s Driving the Shift The push for safer, longer-lasting, and higher-energy batteries is accelerating change across the energy storage industry. Solid-state batteries (SSB) are gaining attention as a promising solution to meet these growing demands. Unlike conventional lithium-ion batteries (LIB), which use flammable liquid electrolytes, SSB relies on solid materials, […]

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fuel cell bus|||||Experimental validation of GT-AutoLion Na-ion battery model at different C-rates|Schematic view of Na-ion battery|Voltage vs. capacity for power-dense and energy-dense Li-Ion cells at different temperatures and C-rates|Multi-scale Modeling with Compular Labs and Gamma Technologies|Transport properties as a function of salt concentration|Schematic representation of the MD simulations|P2D model used in the GT-AutoLion tool|Molecular Dynamic Simulation|Digital Twin Simulation|Virtual Model using Digital Twin||Fault Detection on OBD_02||Data driven ML model|Engineers interacting with a virtual digital twin model on a tablet|Virtual model building|Data cleaning|Real time integration|||Digital Twin Image|Data collection|Cabin Comfort Model in GT-TAITherm|Digital Twin Orchestration Workflow|||||||||Figure 8. Simulation results of a single mission comparing two different battery designs. The Toshiba 20 Ah SCiBTM cells are arranged in 250S/170P (light grey) and 250S/142P (black).|||Table: Results of preliminary study on battery sizing for the tugboat application. Daily fuel consumption as a function of battery configuration.|||Toshiba GT-SUITE blog|Toshiba GT-AutoLion blog|||RDE AUTOMATION GIF|Unwrapped view of the RDE

Perfecting PEM Fuel Cell Water Management Strategies with GT-SUITE

The Rise of PEM Fuel Cell Technology in Mobility The origin of fuel cells dates back to the 19th century, but interest in the technology has surged over the past decade, especially within the mobility industry. This can be attributed to their ability to generate power without harmful emissions, similar to batteries, while also maintaining […]

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Multi-scale Modeling with Compular Labs and Gamma Technologies|RDE Diagram|Concept Image of a Rotating Detonation Engine|Concept Image of a Rotating Detonation Engine||Unwrapped view of the RDE

How Multi-scale Models Are Enhancing Battery Performance and Design

Beyond Experimentation: Predicting Battery Performance with Multi-Scale Models In today’s electrified world, designing better batteries goes far beyond trial-and-error testing. Engineers and researchers are increasingly turning to simulation to accelerate innovation and reduce development costs. Lithium-ion batteries power modern energy storage systems, from electric vehicles to grid storage. As demand grows for higher performance, longer […]

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Digital Twin Simulation|Toshiba GT-AutoLion blog||Toshiba GT-SUITE blog|Table: Results of preliminary study on battery sizing for the tugboat application. Daily fuel consumption as a function of battery configuration.||Figure 8. Simulation results of a single mission comparing two different battery designs. The Toshiba 20 Ah SCiBTM cells are arranged in 250S/170P (light grey) and 250S/142P (black).|||||||||||||Digital Twin Image|Digital Twin Orchestration Workflow|Cabin Comfort Model in GT-TAITherm|Data collection|Data cleaning|Virtual model building|Data driven ML model|Real time integration|Engineers interacting with a virtual digital twin model on a tablet||Fault Detection on OBD_02||Virtual Model using Digital Twin

Digital Twin Simulation: Engineering Smarter, Faster, and More Reliable Products

Why Digital Twins are Necessary and Important Imagine being able to predict equipment failures before they happen, optimize system performance in real time, and reduce expensive physical testing. This is the power of digital twins. A digital twin is a virtual replica of a physical asset, enabling real-time monitoring, simulation, and optimization.  With increasing system […]

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HVACR simulation machine learning|hvac machine learning simulation|EV thermal system model with physics-based solution and feedforward neural net|machine learning simulation in hvac industry

Simulation for the HVACR Industry: How to Leverage Machine Learning

The HVACR Industry is Evolving As we step into 2025, major trends in systems simulation are emerging. The heating, ventilation, air conditioning, and refrigeration (HVACR) industry is seeing accelerated growth in the adoption of simulation throughout the design and development process. This industry is looking to further modernize, appeal to consumers, and demand energy-efficient, sustainable […]

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making music with mutiphysics|eVTOL battery simulation||||||anc GT-SUITE simulation|ANC system simulation model

Making Music with Multiphysics

The capabilities of simulation software appear to be endless (not really, but you know what I mean…) when it comes to modeling different systems and things that may not have been simulated before. This can be especially true when considering how model-based systems engineering (MBSE) has advanced in the past few decades from single-purpose tools […]

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eVTOL battery simulation|||||

How Simulation Accelerates the Development of eVTOL Aircraft for Taxi Services

Unlocking the Potential of eVTOL Aircraft for Taxi Services: Advancing On-Demand Transportation Safely and Efficiently The world is rapidly advancing towards an integrated and accessible on-demand transportation network. Electric Vertical Takeoff and Landing (eVTOL) vehicles have emerged as the ideal solution for the near future, offering faster and more efficient travel options. However, ensuring the […]

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single cylinder and multi cylinder engine simulation|cabin model order reduction simulation workflow results|3D GT-TAITherm Cabin Model|HVAC system simulation GT-SUITE|cabin modelling simulation|3d cabin modelling simulation|cabin modelling simulation fidelities|vehicle cabin temperature simulation|temperature cabin simulation results|dynamic and static neural networks|dynamic machine learning simulation|battery call model simulation|neural network structure|predicted vs. target stored ammonia coverage and NO outlet mass flow rate|metamodel predictions of battery thermal performance simulation|neural network and a linear interpolating lookup map|doe simulation|Transient neural network predictions of voltage and state of charge (SOC)|neural network structure|machine learning simulation|||||machine learning neural networks simulation|Torsional and Transverse Vibration in an Accessory Drive|GT-SUITE accessory drive model|belt tension and global slip simulation|Main Effects Plots for Specified Attributes or Inputs Ranking|Variational Analysis for Specified Attributes|accessory drive machine learning simulation|single cylinder and multi cylinder engine simulation||||

Combining Measurements and Simulation to Streamline Combustion/Controls Development

How to use Simulation to Improve the Engine Development Process for Carbon Neutral Fuels  The need for clean, renewable energy sources requires exploring carbon neutral fuels and their combustion behaviors. This is typically done using single-cylinder (SC) engines. The advantages of this process are to make quick hardware changes such as replacing the head or […]

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